阵列中两种误差标定的级联方法

Meng-yu Ni, Song Xiao, Hui Chen, Longxiang Li
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引用次数: 0

摘要

提出了一种基于仪器传感器的近场源级联标定方法。该方法不仅可以利用工作在不同时间、不同位置的多个独立近场信号对增益、相位误差和位置误差进行标定,而且可以同时对近场源进行定位。在单信号情况下,进行了虚拟阵重构和转向矢量变换。与多维参数联合估计相比,该方法可以实时估计,且受误差变化的影响较小。在构造虚拟阵列时,只需要进行一维光谱搜索,且没有孔径损失。同时,通过仿真实验验证了本文算法的有效性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A Cascade Method for Two Kinds of Errors Calibration in Array
Based on instrumental sensors, a cascade calibration method of the near-field source is proposed. The method can not only uses multiple independent near-field signals operating at different times and different locations calibrate the gain and phase errors and position errors, but also locate the near-field source at the same time. At the single signal, reconstructing the virtual array and steering vector transformation are taken. Compared to the joint estimation of multidimensional parameters, the method can be estimated in real time and less affected by error variations. Only one-dimensional spectral search is needed and there is no loss of aperture in constructing the virtual array. Simultaneously, simulation experiments show the performance of the proposed algorithm in this paper.
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